With the advent of the tide of "new four modernizations", the global automotive industry is undergoing subversive changes, and the automobile is gradually renewing from an industrialized product based on "hardware" to an intelligent network new terminal that can learn, evolve and grow, "both soft and hard" and "data-driven". In the process of the development and popularization of intelligent networked vehicles, a series of problems have also become prominent: there are no laws and regulations to follow for automatic driving, the lack of standard data centers for intelligent networking, and the car operating system has become another "card neck" technology...
At this year's two sessions, the "development of intelligent and connected vehicles" has become one of the focuses of the deputies to the National People's Congress in the automobile industry. Chen Hong, secretary of the party committee and chairman of SAIC Motor, Zhu Huarong, chairman of Changan Automobile, and Fang Yunzhou, founder and chairman of Nezha Automobile, respectively put forward representative proposals from different levels.
It is recommended to accelerate the commercialization of the landing
Chen Hong, deputy to the National People's Congress, secretary of the Party Committee and chairman of SAIC Motor, put forward the "Proposal on Revising and Improving Relevant Laws and Regulations and Supporting Policies to Support the Accelerated Development of Intelligent Connected Vehicles" from the perspective of focusing on the development of intelligent and connected vehicles.
Chen Hong suggested adjusting and improving laws and regulations to accelerate the implementation of commercialization. To promote the faster development of intelligent and connected vehicles, especially to achieve the landing of autonomous driving technology, it is also necessary to achieve breakthroughs in laws and regulations. For example, in the Road Traffic Safety Law, the legal status of the automatic driving system is clarified, and the standard rules and disposal mechanisms for the division of responsibilities between human drivers and the "automatic driving system" (car companies, parts suppliers, etc.) are formulated; in the "Road Motor Vehicle Manufacturers and Product Access Management Measures", the "Automatic Driving System" level evaluation and certification system and access mechanism are established. At the same time, he suggested further increasing support for core technology research, through special fund support and other ways, encourage and guide enterprises to independently control the operating system, wire control chassis and other core software and hardware research and development capabilities, accelerate the formation of industry standards, and achieve product technology scale as soon as possible.
As a demonstration city for autonomous driving, at present, Shenzhen has opened up intelligent networked vehicles to test about 145 kilometers of road mileage, and has issued a total of 93 road test and demonstration application notices, including 23 manned demonstration application notices. In addition, Nanshan, Futian, Pingshan and other areas have also carried out pilot work such as autonomous driving cars, minibuses, and delivery cars, with rich application scenarios and diverse types. It is understood that the new version of the "Shenzhen Intelligent Connected Vehicle Road Test and Demonstration Application Management Implementation Rules" has been officially released for comments, is expected to be issued in the first half of this year, unmanned testing, commercialization pilot exploration and other scenarios will be launched soon, to encourage and support the innovative development of enterprises. The development of Shenzhen's intelligent networked vehicles is far from just the implementation rules, and the municipal transportation, development and reform, industry and information technology and other departments are planning important measures and important plans.
It is recommended to accelerate industry cooperation
Zhu Huarong, deputy to the National People's Congress and chairman of Changan Automobile, prepared several suggestions on how to make China "move from an automobile power to an automobile power", and in the development of intelligent and connected vehicles, it is recommended to integrate resources to accelerate the ecological construction of intelligent and connected vehicles. Zhu Huarong believes that the current integration and development of intelligent and networked vehicles is accelerating, and intelligent networked vehicles are no longer just transportation vehicles, but also large-scale intelligent terminals and computing centers.
At present, with the strong support of various ministries and commissions of the state, the development of the intelligent networked vehicle industry has achieved great results. However, Zhu Huarong believes that there are still some problems in the development of intelligent networked vehicles. In terms of regulations, with the development of the market and technological progress, relevant laws and regulations need to be further improved, such as the identification of safety responsibilities for intelligent and connected vehicle products, the identification of autonomous driving responsibility subjects, and the lack of legal provisions in autonomous driving ethics. At the same time, the current network integration application of intelligent networked vehicles is not sufficient, most of them rely on a single industry to fight alone; in terms of system data, there is a lack of a unified standard data center, the integration of people, vehicles, roads, and signal systems is not enough, there are data barriers and island effects; there is still a lack of legal provisions in terms of automotive data security and privacy protection, information infringement liability, and security guarantee responsibility subjects.
Zhu Huarong said that in order to achieve the popularization and application and large-scale development of intelligent networked vehicles, it is necessary to effectively integrate resources such as government, enterprises, markets, and technologies to accelerate the construction of industrial ecology. To this end, he suggested that we should improve the system of laws and regulations to accommodate the development of emerging industries within a safe and controllable range; at the same time, through government guidance, regulatory guarantees, and standard unification, accelerate industry cooperation and break down data barriers.
It can be seen that many cities have put the development of intelligent networked vehicles on the agenda. Taking Changsha as an example, it regards the intelligent automobile industry as the top priority of the "three wisdoms and one core" industrial layout, with Hunan Xiangjiang New Area as the main position, and accurately exerts its efforts in application scenarios, market operations, ecological construction, and policy support. At present, Changsha's intelligent networked automobile industry has achieved "six national firsts", becoming the only city in the country to obtain four national licenses, and is an important intelligent network industry agglomeration and innovation source in the country.
Liu Fawang, chief engineer of the Equipment Industry Development Center of the Ministry of Industry and Information Technology, said that the current intelligent network technology, especially high-level automatic driving, is gradually entering the industrial application stage, from the perspective of government management, the future needs to focus on the main challenges, domestic and foreign progress, future access management structure thinking, etc., more analytical thinking, in advance for the next step of intelligent network safety supervision implementation escort.
Don't let the operating system "card neck"
The bill of Fang Yunzhou, deputy to the National People's Congress and founder and chairman of Nezha Automobile, also involves the topic of "coordinating the construction of intelligent vehicle operating system ecology". As the only NPC deputy among the new car-making forces, Fang Yunzhou believes that the accelerated development of new technologies such as artificial intelligence and big data has put forward new challenges to the development of China's intelligent automobile industry, mainly including the three major challenges of vehicle operating system, vehicle high-performance chips and automotive intelligent security. He believes that the car operating system has become a "card neck" technology in the development of China's smart cars.
When traditional cars are gradually transformed into the third largest mobile intelligent terminals, the car operating system has become a strategic place for enterprises to compete. Foreign traditional auto giants or self-research or acquisition or group cooperation, the domestic auto industry have gathered momentum, and strive to overcome the difficulty of operating system in the once-in-a-century intelligent transformation. In 2016, Nezha Automobile took the lead in proposing a complete "intelligent car operating system layout"; in 2019, Nezha Automobile declared an operating system patent and disclosed the content, becoming the pioneer of China's first intelligent car operating system. Some professionals pointed out that "in the early stage of the development of automatic driving, the chip flew with the operating system; after the industry gradually entered a mature period, the voice of the operating system will become larger and larger." "At present, QNX, Android and Linux systems are the mainstream choices for the underlying operating systems of the current models on the market, and the three systems have their own advantages and disadvantages." Miao Wei, deputy director of the Economic Committee of the National Committee of the Chinese People's Political Consultative Conference, has repeatedly said in public that the operating system is the key to the digital transformation of automobile companies, and it is a place where soldiers and families must compete, and domestic enterprises should aspire to win.
Responsible Editor: Li Yan'an Editor-in-Chief: Yu Jianping
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